5. Conduct an Ljung-box text 6. Plot the ACF and PACF of the data and find out whether AR or MA models are suitable for the data
Question
Solution 1
Sure, here are the steps to conduct a Ljung-Box test, plot the ACF and PACF, and determine if AR or MA models are suitable for the data:
- Conduct a Ljung-Box Test
- Import the necessary libraries in Python:
import pandas as pdandfrom statsmodels.stats.diagnostic import acorr_ljungboxKnowee AI is a powerful AI-powered study tool designed to help you to solve study problem.
- Import the necessary libraries in Python:
Knowee AI is a powerful AI-powered study tool designed to help you to solve study problem.
Knowee AI is a powerful AI-powered study tool designed to help you to solve study problem.
Knowee AI is a powerful AI-powered study tool designed to help you to solve study problem.
Knowee AI is a powerful AI-powered study tool designed to help you to solve study problem.
Knowee AI
Similar Questions
5. Conduct an Ljung-box text 6. Plot the ACF and PACF of the data and find out whether AR or MA models are suitable for the data
5. Conduct an Ljung-box text in R 6. Plot the ACF and PACF of the data and find out whether AR or MA models are suitable for the data
given the ACF and the PACF of the time series,, what ARMA model fits the time serius?
> #Test ARCH effect > Box.test(m2$residuals^2,lag=10,type='Ljung') Box-Ljung test data: m2$residuals^2 X-squared = 17.628, df = 10, p-value = 0.06156
The box-and-whisker plot below represents some data set. What is the maximum value of the data?0102030405060708090100
Upgrade your grade with Knowee
Get personalized homework help. Review tough concepts in more detail, or go deeper into your topic by exploring other relevant questions.